KI-Agenten
KI-Agenten sind Softwaresysteme, die mithilfe von logischem Denken, Planung und verschiedenen Werkzeugen komplexe Aufgaben unterstützen oder automatisieren. Wir vergleichen die führenden Open-Source- und kommerziellen Agenten.
Agente-CLI-Tools: Codex vs Claude Code
Agentic CLI tools are AI coding tools that can create and delete files, run commands, plan, and execute the coding of the entire project.
Large Action Models: Hype oder Realität?
Following the launch of Rabbit, an AI device that can use mobile apps, the term large action models (LAMs) is getting popular. These models move beyond conversation by turning LLMs into “agents” that can connect the siloed, app-driven world without requiring users to click on apps or integrate APIs.
Top 30+ Industrielle KI-Agenten-Landschaft im Blick
Industrial AI agents address the limitations of siloed data by autonomously integrating and deriving actionable insights from IoT, controls systems (e.g. SCADA), and connected assets.
Agentic LLM Benchmark: Führende Modelle im Vergleich
We benchmarked the top LLMs across 10 software development tasks by using an agentic CLI tool. We executed ~3,500 automated validation steps per model across both API and UI layers. Agentic LLM benchmark results Success rate comparison Each alias ran 3 times across 10 tasks (30 samples per alias, 230 cells per iteration).
Leistung von KI-Agenten: Erfolgsquoten & ROI
Recent research reveals that AI performance follows predictable exponential decay patterns, enabling businesses to forecast capabilities and differentiate between costly failures and successful ROI-generating implementations. I oversaw 12 AIMultiple benchmarks, including nearly 70 AI agents across more than 1,000 tasks.
AI-Agent-Fallen: 20 reale Vorfälle
AI agent adoption has outpaced AI agent security: 82% of enterprises now deploy agents, but only 44% have policies to secure them, and one in five organizations has already experienced an agent-related breach.
Agentic AI für Cybersicherheit: 10 Anwendungsfälle & Beispiele
Agentic AI refers to AI systems that combine models like large language models (LLMs) with automated workflows, tool integration, and decision support. These systems assist security teams in SecOps and AppSec by analyzing alerts, automating routine tasks, and supporting investigative work. Agentic AI tools generally operate under human oversight.
Erstellen von KI-Agenten mit komponierbaren Mustern
We spent 3 days experimenting with workflows and agent pipelines in n8n, following Anthropic’s and OpenAI’s guides on building effective AI agents.
Die besten 50+ Open-Source-KI-Agenten im Überblick
Everyone has been building AI agents so after hands-on testing with popular AI coding agents, AI agent builders and tools use benchmarks to evaluate their real-world capabilities, we put together a curated list of the best 50+ open source AI agents.
Top 8 Agentic CRM-Plattformen
Customer relationship management tools are getting smarter. Instead of just storing data, agentic CRM platforms can plan tasks, execute workflows, and adjust strategies autonomously. Think of them as CRM systems with built-in intelligence that actually do the work instead of waiting for you to click buttons.